What is Constraint Satisfaction Problems (CSPs)?

Skill Level:

Constraint Satisfaction Problems are mathematical problems where a set of variables must satisfy a given set of constraints. CSPs are used in AI for tasks such as scheduling, resource allocation, and puzzle-solving. Techniques like Backtracking and Constraint Propagation are used to find feasible solutions.

Other Definitions

Machine Vision refers to the use of AI and computer vision techniques to enable machines to perceive and understand visual information. It involves analysing…
Robotics involves designing, building, and programming machines that can perform tasks autonomously or interact with humans. By combining AI with physical systems, businesses can…
Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different…
Adversarial machine learning involves studying and defending AI models against attacks or adversarial examples designed to deceive the system. By understanding vulnerabilities and deploying…